How to Connect Mercury to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Mercury

You have an Excel workbook full of financial data — expense categories, vendor names, cash balances, invoice amounts. You need it cross-referenced against Mercury, or you need Mercury's data pulled into the workbook so your bookkeeper, CFO, or auditor can work with it.

Mercury is good at holding and moving your business money. But the moment you need its data in a workbook, you're downloading CSVs, reformatting date columns, pasting account balances by hand, and starting over next week.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual CSV Export

The default path for Excel users: open Mercury, export a CSV for the date range you need, open it in Excel, paste the data into your working workbook, fix the column headers, reformat the dates, remove the blank rows the export adds at the top. Works once.

The problem is that Mercury data is alive. Transactions close. Invoice statuses change. Balances shift daily. Every time a stakeholder needs a fresh number, someone re-exports from Mercury and runs the whole sequence again. After the fourth monthly reconciliation that starts with "let me grab the latest CSV," the process becomes the job, not the analysis.

Method 2: Power Automate

Power Automate has Mercury connector options that can trigger on events or run on a schedule and write the results into an Excel worksheet.

Before you go further: are you comfortable working with REST connectors? Dynamic content schemas? Pagination offsets? Conditional branching on null fields? If those terms don't map to anything familiar, this is not your path — skip to Method 3 or 4 and you'll get to the data faster.

If you're still reading: the setup works, but it takes real configuration effort. You pick your trigger, authenticate to Mercury and to your Excel workbook in OneDrive or SharePoint, map each field by hand, and write error-handling logic for the cases Mercury's API doesn't document cleanly.

Then you hit the structural ceiling.

A trigger-per-event flow fires one row at a time. It cannot aggregate. A flow that moves 300 transactions into Excel cannot also group them by category and write a summary table — that's a second flow, a second set of field mappings, and a second failure surface to maintain.

You probably just need total spend by vendor for Q1. You probably have no idea how to chain a Power Automate flow that paginates Mercury's transaction API, deduplicates records, and populates a pivot table in Sheet2. So you bring it to whoever on the team understands these automations, and now you're waiting to hear back while the quarter-end review gets closer.

Adding more steps to solve the aggregation gap scales the monthly cost and the debugging surface at the same rate.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable workbook-to-Mercury workflows was a category of add-ons and Excel integrations that let you configure column mappings, save templates, and run syncs manually. You picked your range, tagged your fields, saved the config, hit run.

That was a meaningful improvement over exporting CSVs. The output was consistent, the config was reusable, and the bookkeeper didn't have to rebuild the format from scratch each month.

But the thinking was still on you — field mapping, date range logic, pagination handling, and config updates every time Mercury added a new account or renamed a field. The tool moved the data; you still had to design how it moved. And the moment your workbook structure changed, the config broke until someone went back and fixed it.

That was the previous generation. It solved the repetition problem. It didn't solve the intelligence problem.

The Easy Way: Using SheetXAI in Excel

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you're working with, and through its built-in Mercury integration it can pull transactions, balances, invoices, recipients, cards, and statements directly into your worksheets. No template configuration, no field mapping, no pagination logic to manage. You describe what you want.

Example 1: Pull all Q1 transactions for bookkeeping

Get all Mercury transactions with status 'sent' from the last 90 days across all accounts and load them into this Excel sheet sorted by date ascending — include account name, transaction ID, description, and amount

Every transaction lands in its own row, sorted, with the account context included so the bookkeeper knows which Mercury account each line came from.

Example 2: Separate checking and treasury accounts

Fetch all Mercury accounts and all treasury accounts, write them into Sheet1 (checking/savings) and Sheet2 (treasury) respectively with name and balance, then write the combined total into cell A1 of Sheet3

The pattern: instead of pulling one export per account type and manually combining them, you describe the structure you want — multiple worksheets, specific cells, a grand total — and SheetXAI handles the Mercury calls and the worksheet writes in one pass.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook where you work with Mercury data, then ask it to pull the data you've been exporting by hand. The Mercury integration is included in every SheetXAI plan.